Senior Technical Program Manager, NVIDIA Metropolis

NVIDIA Metropolis offers GPU-accelerated libraries, SDKs, Microservices, Tools, and Blueprints that help developers build, deploy, and scale AI-enabled applications – from the edge to the cloud.

As a Senior Technical Program Manager, you will lead all steps of the development lifecycle: from concept to model training, engineering for optimized inference, and deployment. You will closely work with engineering and product management to deliver and drive strategic roadmap execution.

Responsibilities:

• Collaborate with engineering on sprint planning, stand-ups, sprint review, and retrospective
• Use Jira dashboard and bug database queries to help with various reporting, and Confluence to provide comprehensive program updates to the core and leadership teams
• Work closely with the engineering team on various KPIs to improve overall execution process and deliverables
• Be an integral member of the Vision AI development and productization workflow

Requirements:

• Bachelor's degree in Electrical Engineering or Computer Science or equivalent experience
• 8+ years of end-to-end Program Management experience in a similar or related role
• Excellent verbal, written, interpersonal, and presentation skills
• Proficient in Agile project management methodologies
• Experience with Jira to guide an engineering team on how to use these tools and implement in an agile/scrum manner
• Proven track record of being well-organized, detail-oriented, having excellent listening skills, in an environment with shifting priorities and changing requirements
• Ability to think long-term and build consensus to make programs successful
• Outstanding skills in prioritizing and building alignment

Nice to Have:

• Prior Program Management experience with Vision AI or AI application development including Data Acquisition and Labeling to Model Training, Optimization, and Edge Deployment
• Strong understanding of Embedded Systems (familiarity with Nvidia GPUs is a plus)
• Deep understanding of Software Product Life Cycle to develop production-grade AI applications
• AI adoption in Program Management to optimize workflows and increase team velocity
• Experience managing the unique challenges of AI programs, such as Model accuracy KPIs, and "human-in-the-loop" validation processes

We offer competitive salaries, a generous benefits package, equity, and opportunities for growth.